Knowledge Graph Case Study: How We Got Our Client Featured (2026)
Getting your brand into Google's Knowledge Graph isn't luck—it's strategy. When Meridian Analytics, a B2B data visualization SaaS company, came to us in early 2025, they had strong product-market fit but zero presence in Google's entity database. Six months later, their branded searches displayed a full Knowledge Panel with company information, leadership details, and social profiles.
This case study breaks down exactly how we achieved it.
Client Background & Knowledge Graph Goals
The Client: Meridian Analytics, a Series B data visualization platform serving enterprise clients. Founded in 2021, they had grown to 85 employees and $12M ARR by the time they engaged us.
The Challenge: Despite their market success, searching "Meridian Analytics" on Google returned only their website and a few press mentions. No Knowledge Panel. No entity recognition. Their CEO had stronger personal brand presence than the company itself.
Why It Mattered: Meridian was preparing for Series C fundraising and potential acquisition conversations. Investors and partners routinely research companies through branded searches. The absence of a Knowledge Panel signaled to these audiences that Meridian might be less established than competitors who had them.
The Goals:
- Achieve a Google Knowledge Panel for branded searches within 6 months
- Establish the company as a recognized entity in Google's Knowledge Graph
- Connect leadership team members to the company entity
- Improve brand credibility signals for investor due diligence
The timeline was aggressive. Most Knowledge Panel campaigns take 9-12 months. We committed to an accelerated approach.
Initial Audit: Why They Didn't Have a Knowledge Panel
Before building strategy, we needed to understand why Google hadn't recognized Meridian as an entity. Our audit revealed several critical gaps:
Entity Signal Deficiencies:
- No Wikipedia page or Wikidata entry
- Company not listed on Crunchbase with complete profile
- LinkedIn company page existed but lacked structured information
- No mentions in authoritative business databases (Bloomberg, Reuters, PitchBook)
- Schema markup on website was generic—no Organization schema implemented
Content & Authority Issues:
- Press coverage existed but was fragmented across small publications
- No consistent NAP (Name, Address, Phone) across web properties
- Founder profiles didn't clearly connect to the company entity
- About page lacked the structured information Google needs for entity extraction
Technical Gaps:
- Website had no JSON-LD structured data for Organization
- Social profiles weren't properly linked via sameAs properties
- No official brand assets (logo, images) with consistent metadata
The diagnosis was clear: Meridian existed as a business but not as an entity in Google's understanding. They needed 30+ meaningful "touchpoints" across authoritative sources to become what Google considers a notable entity.
Strategy: Entity Building & Authority Signals
Based on our audit, we developed a three-phase strategy focused on building entity recognition through authoritative signals.
Phase 1: Foundation (Weeks 1-4)
Establish consistent entity information across owned properties and claim profiles on authoritative platforms.
- Implement comprehensive Organization schema on website
- Complete and optimize LinkedIn company page with full structured data
- Create/claim profiles on Crunchbase, PitchBook, and industry databases
- Ensure NAP consistency across all web properties
- Optimize Google Business Profile (even for SaaS companies, this signals legitimacy)
Phase 2: Authority Building (Weeks 5-12)
Generate third-party validation through earned media and authoritative mentions.
- Secure coverage in industry publications (not press releases—actual editorial coverage)
- Pursue inclusion in industry reports and analyst coverage
- Build executive thought leadership with bylined articles
- Target mentions in roundup articles and "best of" lists
- Develop relationships with industry analysts for inclusion in research
Phase 3: Entity Consolidation (Weeks 13-24)
Connect all signals and pursue Wikipedia/Wikidata recognition.
- Create Wikipedia article following notability guidelines
- Submit Wikidata entry with structured entity relationships
- Ensure all authoritative sources link back consistently
- Monitor Knowledge Panel appearance and optimize presentation
- Connect leadership entities to company entity
The key insight: Google's Knowledge Graph relies on corroboration. One mention doesn't establish an entity. Thirty consistent mentions across authoritative sources do.
Implementation Timeline: What We Did Each Month
Month 1: Technical Foundation
Week 1-2:
- Implemented JSON-LD Organization schema with complete properties (name, logo, founders, foundingDate, numberOfEmployees, address, sameAs links)
- Added Person schema for CEO and CTO with organizational connections
- Fixed NAP inconsistencies across 12 web properties
Week 3-4:
- Created comprehensive Crunchbase profile with funding history, team, and technology stack
- Claimed and optimized PitchBook listing
- Updated LinkedIn company page with complete structured information
- Registered Google Business Profile with verified address
Month 2: Earned Media Campaign
- Secured coverage in TechCrunch about their latest product feature (not a press release—a genuine news story)
- CEO published bylined article in Harvard Business Review online
- Company featured in Gartner's emerging vendors report
- Three podcast appearances for leadership team
- Guest post on industry blog with company mention
Month 3: Authority Expansion
- Reuters brief on their Series B extension
- Featured in "Top 50 Data Visualization Tools" roundup
- CTO quoted as expert source in Bloomberg technology article
- Industry analyst published positive review
- Webinar partnership with established industry organization
Month 4: Wikipedia Preparation
- Drafted Wikipedia article following strict notability guidelines
- Gathered 15+ independent reliable sources (required for notability)
- Created Wikidata entry with structured entity data
- Submitted Wikipedia draft for review (this is where many campaigns stall—we had sufficient sources to pass review)
Month 5: Entity Consolidation
- Wikipedia article approved and published
- Updated all profiles to reference Wikipedia entry
- Schema markup updated with Wikipedia/Wikidata identifiers
- Monitored Google's entity recognition through Search Console
- Knowledge Panel first appeared mid-month (partial)
Month 6: Optimization
- Full Knowledge Panel displaying consistently
- Claimed Knowledge Panel through Google's verification process
- Suggested edits for accuracy (logo, description, social links)
- Connected CEO's Knowledge Panel to company entity
- Documented results and created ongoing maintenance plan
Results: Knowledge Panel Achievement & Impact
Primary Goal Achieved: Full Knowledge Panel displaying for "Meridian Analytics" and related branded queries by Month 5, fully optimized by Month 6.
Knowledge Panel Contents:
- Company name, logo, and description
- Founding date and headquarters location
- CEO and leadership information
- Social media profile links
- Stock ticker placeholder (showing Google recognizes them as investment-relevant entity)
- "People also search for" showing competitor context
Entity Recognition Metrics:
- Google Entity ID assigned and trackable
- Wikidata QID established (Q########)
- Entity appearing in Google's Knowledge Graph API responses
- Brand name triggering entity-based search features
Verification Status: Successfully claimed Knowledge Panel, allowing direct control over logo, social links, and the ability to suggest corrections.
Traffic & Visibility Gains from Knowledge Panel
Beyond the Knowledge Panel itself, the entity-building work created measurable organic improvements:
Branded Search Performance:
- Branded search CTR increased 34% (Knowledge Panel occupies prominent SERP real estate)
- Branded search impressions grew 28% (entity recognition improves query matching)
- Average position for branded terms improved from 1.2 to 1.0 (consistent #1)
Non-Branded Organic Impact:
- Overall organic traffic increased 47% over 6 months
- Domain Authority improved from 45 to 52 (authority signals benefit overall SEO)
- Referring domains grew from 890 to 1,340 (earned media campaign drove links)
Business Impact:
- Investor due diligence mentions improved brand perception
- Sales team reported shorter trust-building cycles with enterprise prospects
- Recruitment metrics improved (candidates research companies before applying)
- Series C conversations progressed faster due to established credibility signals
Cost Per Result: Total campaign investment was approximately $45,000 over 6 months (agency fees plus earned media costs). Given the fundraising context and enterprise sales impact, client calculated 15x ROI within the first year post-Knowledge Panel.
Long-Term Entity Benefits: Six months after Knowledge Panel establishment, Meridian continued seeing compounding benefits. Their entity now appears in Google's "People also search for" results when users search for competitors. AI-powered search tools like Perplexity and ChatGPT began citing Meridian in responses about data visualization platforms—a direct result of their Knowledge Graph presence. The entity foundation we built serves as permanent infrastructure for all future SEO efforts.
Lessons Learned & What We'd Do Differently
What Worked Exceptionally Well:
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Starting with schema before outreach: Having proper technical foundation meant every new mention immediately contributed to entity signals. Companies that skip schema see slower Knowledge Panel timelines.
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Focusing on genuine editorial coverage: Press releases don't move the needle. The TechCrunch feature and HBR byline were worth more than 50 press release placements.
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Preparing Wikipedia thoroughly: Our article passed review on first submission because we over-documented sources. Many campaigns fail here by submitting prematurely.
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Connecting founder entities: The CEO already had some entity recognition. Linking his entity to the company entity accelerated overall recognition.
What We'd Do Differently:
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Start Crunchbase earlier: We underestimated how much Google relies on Crunchbase for B2B company entity data. Making this a Week 1 priority would have accelerated results.
-
Build analyst relationships sooner: Industry analyst coverage carries significant weight. Starting these relationships in Month 1 instead of Month 3 could have compressed the timeline.
-
Document the baseline more rigorously: We had good before/after metrics but wish we'd tracked entity recognition signals more granularly throughout.
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Create Wikidata before Wikipedia: The Wikidata entry can exist without Wikipedia and provides entity signals immediately. We waited too long to submit it.
How to Apply This Strategy to Your Brand
Not every company needs a Knowledge Panel, but if you're pursuing one, here's the framework:
Assess Your Readiness:
- Do you have 10+ independent reliable sources covering your company?
- Can you demonstrate notability beyond just existing as a business?
- Do you have budget for 6-12 months of sustained effort?
If yes to all three, you're a candidate.
Minimum Viable Entity Strategy:
- Week 1: Implement Organization schema with complete properties
- Week 2: Claim/complete Crunchbase, LinkedIn, and Google Business Profile
- Weeks 3-8: Pursue 3-5 pieces of genuine editorial coverage
- Weeks 9-12: Create Wikidata entry; prepare Wikipedia draft
- Weeks 13-20: Submit Wikipedia; monitor for Knowledge Panel appearance
- Weeks 21-24: Claim and optimize Knowledge Panel
Budget Expectations:
- DIY approach: 20-40 hours internal effort over 6 months
- Agency support: $5,000-$15,000/month depending on earned media needs
- Hybrid approach: $2,500-$5,000/month for strategy plus internal execution
Timeline Expectations:
- Minimum viable: 6 months for well-positioned companies
- Average: 9-12 months for typical B2B companies
- Challenging cases: 12-18 months for companies with limited existing coverage
Warning Signs This Won't Work:
- No genuine news coverage exists or is achievable
- Company isn't notable by Wikipedia standards
- Leadership unwilling to participate in thought leadership
- No budget for sustained effort
Measuring Progress Along the Way: Don't wait until Month 6 to assess results. Track these leading indicators: Google Search Console showing your brand as a "topic" in search analytics, your company appearing in Google's autocomplete suggestions, third-party tools detecting your Wikidata entry, and increased branded search volume indicating entity awareness.
The Knowledge Graph represents how Google understands the world. Getting your brand recognized as an entity—not just a website—fundamentally changes how you appear in search. For Meridian Analytics, that change translated directly into business results.
Your brand's Knowledge Graph presence starts with understanding that Google needs to see you as an entity first and a website second. The strategy outlined here makes that happen systematically.
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